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Uncertainty importance measure for models with correlated normal variables
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Uncertainty importance measure for models with correlated normal variables (2012)Uncertainty importance measure for models…Variance-based sensitivity indices for models with dependent inputs (2011)Variance-based sensitivity in…An improvement of the response surface method (2011)An improvement of the respons…Uncertainty and sensitivity analysis for models with correlated parameters (2007)Uncertainty and sensitivity a…Multiple predictor smoothing methods for sensitivity analysis: Description of techniques (2007)Multiple predictor smoothing …Global Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis. …Global sensitivity analysis using polynomial chaos expansions (2007)Global sensitivity analysis u…A new uncertainty importance measure (2006)A new uncertainty importance …Reliability analysis of structures using neural network method (2005)Reliability analysis of struc…Structural reliability analysis for implicit performance functions using artificial neural network (2004)Structural reliability analys…A response surface method based on weighted regression for structural reliability analysis (2004)A response surface method bas…Theorems and examples on high dimensional model representation (2003)Theorems and examples on high…Comparison of response surface and neural network with other methods for structural reliability analysis (2003)Comparison of response surfac…Sensitivity Analysis for Importance Assessment (2002)Sensitivity Analysis for Impo…Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Global sensitivity indices fo…Importance measures in global sensitivity analysis of nonlinear models (1996)Importance measures in global…A Robust Measure of Uncertainty Importance for Use in Fault Tree System Analysis (1990)A Robust Measure of Uncertain…Sensitivity measures,anova-like Techniques and the use of bootstrap (1997)Efficient input—output model representations (1999)Estimating the approximation error when fixing unessential factors in global sensitivity analysis (2006)Efficient computation of global sensitivity indices using sparse polynomial chaos expansions (2010)Sensitivity analysis for volcanic source modeling quality assessment and model selection (2012)Structural reliability under combined random load sequences (1978)Structural Reliability Methods (1996)Structural Reliability Analysis and Prediction (2017)A review and assessment of importance sampling methods for reliability analysis (2022)Monte Carlo and variance reduction methods for structural reliability analysis: A comprehensive review (2023)Factorial Sampling Plans for Preliminary Computational Experiments (1991)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A simple and efficient method for global sensitivity analysis based on cumulative distribution functions (2015)Variable importance analysis: A comprehensive review (2015)The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020)Statistics for Experimenters (1979)Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences (1994)A Quantitative Model-Independent Method for Global Sensitivity Analysis of Model Output (1999)“Opening Up” and “Closing Down” (2007)Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices (2019)On the Experimental Attainment of Optimum Conditions (1951)On the Experimental Attainment of Optimum Conditions (1992)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)An efficient response surface method using moving least squares approximation for structural reliability analysis (2010)Adaptive approaches in metamodel-based reliability analysis: A review (2020)Design and Analysis of Computer Experiments (1989)Handbook on Constructing Composite Indicators (2005)An effective screening design for sensitivity analysis of large models (2007)Stochastic Finite Elements: A Spectral Approach (1991)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)UQLab: A Framework for Uncertainty Quantification in Matlab (2014)Some New Three Level Designs for the Study of Quantitative Variables (1960)Response Surface Methodology (1996)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)SALib: An open-source Python library for Sensitivity Analysis (2017)
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References

  • 2007Global Sensitivity Analysis. The Primer6,425 cited
  • 2001Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates6,377 cited
  • 2007Global sensitivity analysis using polynomial chaos expansions2,547 cited
  • 1996Importance measures in global sensitivity analysis of nonlinear models2,014 cited
  • 2002Sensitivity Analysis for Importance Assessment1,303 cited
  • 2006A new uncertainty importance measure1,030 cited
  • 2003Theorems and examples on high dimensional model representation450 cited
  • 2004A response surface method based on weighted regression for structural reliability analysis289 cited
  • 2003Comparison of response surface and neural network with other methods for structural reliability analysis284 cited
  • 2004Structural reliability analysis for implicit performance functions using artificial neural network279 cited
  • 2007Uncertainty and sensitivity analysis for models with correlated parameters271 cited
  • 1990A Robust Measure of Uncertainty Importance for Use in Fault Tree System Analysis264 cited
  • 2011Variance-based sensitivity indices for models with dependent inputs246 cited
  • 2005Reliability analysis of structures using neural network method197 cited
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An improvement of the response surface method
179 cited
  • 2007Multiple predictor smoothing methods for sensitivity analysis: Description of techniques173 cited
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